We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Developing a real-time quality checker for the operators on QGIS

Formal Metadata

Title
Developing a real-time quality checker for the operators on QGIS
Title of Series
Number of Parts
266
Author
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
The National Land Survey (NLS) of Finland embarked on developing a national topographic data production system using open-source technologies, primarily QGIS client. Their goal is to launch the Minimum Viable Product (MVP) of the application for NLS operators by early 2025. A significant recent advancement is the creation of a user-friendly data quality management system, designed to offer easy adaptability for quality rule changes and comprehensive insights. The NLS developed a tool named "Quality Management Tool" to achieve this. While some QGIS tools like geometry checks were utilized, the NLS found that the existing QGIS tools were not easily customizable or extensive enough for their specific quality demands. This prompted them to manually select and configure quality tools, a process consuming valuable operator time. The core principle guiding their quality management approach is to provide real-time feedback to operators, enabling them to address errors within their standard workflow, thus eliminating the need for separate quality control phases. Furthermore, the NLS ensures that users can save their work to their local database without workflow interruption, even if errors exist. Although the graphical user interface for visualizing quality check results has been released on GitHub, this presentation aims to showcase the tool's broader functionality. It will include use case videos to demonstrate its capabilities on a larger scale, discussing its architecture and future development plans.